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MAT-kit(finance panel)

Surveys planned by INTAGE for the Finance industry (life and nonlife insurance companies, banks and brokerages). Based on survey responses from approximately 700,000 people, we offer a lineup of surveys on various themes, such as the state of the market, the competitive situation and loyalty.

MAT-kit Logo

Characteristics of MAT-kit

One of the largest samples in Japan

We have secured data for approximately 700,000 people by sending questionnaires to the survey respondents of INTAGE and our partners.
This provides an understanding of the competitive situation in areas within a prefecture as well as within a municipality.
In addition, you can also check data on segments with a low appearance ratio, such as the elderly and the affluent.

Interviews on the usage status at 320 financial institutions nationwide

We have conducted interviews on the usage status at about 320 financial institutions - 254 banks/credit associations/labor credit associations/brokerages, 43 life insurance companies and 23 automobile insurance companies, delivering an understanding of the usage status of your company and your competitors, that you would not be able to confirm with earlier data.

Ability to conduct cost-efficient surveys

Since financial institution usage information is included in the data of approximately 700,000 people, depending on the contents of the survey, a screening survey may be unnecessary or could be implemented with a minimum number of responses, so this leads to a reduction in costs.

A large lineup. Lower cost than conducting the survey yourself.

We conduct many surveys in each industry and in hot fields and we intend to increase the number of variations of these surveys in line with market conditions. Since the surveys are multi-client surveys, you will be able to keep costs low compared to your company conducting the survey on its own.

MAT-kit lineup

Banks/brokerages

Survey name Survey contentsSurvey track record
Financial action survey
  • One of the largest surveys in the industry with approximately 700,000 responses nationwide
  • Interviews on companies, services, etc. used by banks/brokerages
  • Helps reduce costs to extract samples for market analysis and surveys
  • Aug-Sep 2014
  • Jun-Jul 2015
  • Apr-May 2016
  • Apr-May 2017
  • Apr-May 2018
State of bank usage
CS survey
  • A CS survey featuring the industry’s largest number of samples with a coverage area including four prefectures of Greater Tokyo (Tokyo, Kanagawa, Saitama and Chiba) and four prefectures of Greater Osaka (Osaka, Kyoto, Hyogo and Nara).
  • Delivers an understanding of not only CS but also the usage status, reveals your bank’s strengths compared to your competitors, as well as any issues.
  • Sep 2014 18167s
  • Sep 2015 17449s
  • Sep-Oct 2016 17483s
Housing loan contracts
survey of conditions
  • A survey with a coverage area including eight prefectures of Greater Tokyo (Tokyo, Kanagawa, Saitama, Chiba, Gunma, Ibaraki, Tochigi and Yamanashi) and four prefectures of Greater Osaka (Osaka, Kyoto, Hyogo and Nara).
  • Covers new housing loan contracts and refinancing within the past year.
  • This survey is effective in considering measures for acquiring new housing loan customers and reducing cancelations.
  • Sep 2014, eight prefectures of Greater Tokyo 4998s
  • Nov 2014, four prefectures of Greater Osaka 1564s

Life/nonlife insurance companies (automobile insurers)

Survey name Survey contentsSurvey track record
Financial action survey
  • One of the largest surveys in the industry with approximately 700,000 responses nationwide
  • Interviews on companies, services, etc. used by life/nonlife insurance companies (automobile insurers)
  • Helps reduce costs to extract samples for market analysis and surveys
  • Aug-Sep 2014
  • Jun-Jul 2015
  • Jun-Jul 2016
  • Jun-Jul 2017
  • Jun-Jul 2018
CS survey of general customers
  • Covers policyholders at 22 major companies.
  • Reveals your strengths compared to competitors and any issues.
  • Leads to specific actions "at the time of sales" and "at follow-up" that should be strengthened/improved.
  • Sep 2014 5069s
  • Jul 2015 5585s
  • Jul 2016 18727s
  • Jul 2017 18991s
  • Jul 2018 19930s
CS survey of recruited customers
  • Covers policyholders who signed contracts within the past year at 22 major companies.
  • Reveals your strengths compared to competitors and any issues.
  • Delivers an understanding of the detailed process and evaluation at the time of signing, and leads to necessary actions to improve the level of satisfaction.
  • Aug 2016 16158s
  • Jul-Aug 2017 16166s
  • Jul 2018 16980s
CS survey of customers who submitted claims
  • Covers those who submitted claims for benefits within the past year at 22 major companies.
  • Reveals your strengths compared to competitors and any issues.
  • Delivers an understanding of the detailed process and evaluation at the time of the claim, and leads to necessary actions to improve the level of satisfaction.
  • Aug 2016 13280s
  • Jul-Aug 2017 13160s
  • Jul 2018 13353s
CS survey of accident responses
  • Covers those who made automobile insurance claims within the past year.
  • A survey with very precise data on claimants within the past year.
  • In addition to revealing your strengths compared to competitors and any issues, this also helps formulate measures to improve/strengthen actions and allows you to check the relationship between expectations and any gap with the actual experience.
  • Sep 2015 8012s

Other uses for MAT-kit data

Deliver messages to the target group efficiently with MAT-kit × di-PiNK

By using MAT-kit data to extract the characteristics of the target group instead of just making estimates, you will be able to target more accurately.
Target segments are classified based on a wealth of financial transaction information.
By distributing ads to people with similar attributes or online activities to those in the segment,
you will be able to approach the targets more efficiently.

Flow of distributing MAT-kit × di-PiNK advertisements

mat-kit_fig_02

Discover promising/risky customers and implement the best approach.

Discovering promising/risky customers quickly and taking an appropriate approach will become even more important in the future.
By constructing a model using either our data or your company’s data, you will be able to assign the probability of promise or risk to each person.
The white box type means that it’s possible to understand the reasons, so this is not just for targeting but rather you’ll be able to consider the best approach to any measures.

Understand consumers 360 degrees ahead of a shift to an open API

Amid the various changes to technologies and services, especially in fintech, construct a framework for understanding consumers from 360 degrees based on INTAGE’s business base and ideas. This enables you to understand consumers in ways that lead to marketing actions more than ever before.
Prepare information that can be used to consider the best approach to taking additional measures, including cross-industry collaborations, by creating user profiles based on various attitudes and consumption behavior regarding products other than financial products.

We propose the sort of marketing research that can deal with your company's challenges.

Please feel free to contact us. The relevant team member will get in touch with you.

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